{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 10,
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "from method import *"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-04-02T14:22:46.072216Z",
     "start_time": "2024-04-02T14:22:46.042773Z"
    }
   },
   "id": "ebc1b4de24b360aa"
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "outputs": [],
   "source": [
    "set_today_date = '2024-04-02'"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-04-02T14:22:46.212720Z",
     "start_time": "2024-04-02T14:22:46.203895Z"
    }
   },
   "id": "cc98840cadbe17d2"
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "end up is null, 默认设置为当前时间\n"
     ]
    }
   ],
   "source": [
    "# 获取分析的最近日期\n",
    "analysis_date_list = generate_previous_dates(set_today_date, 5)\n",
    "df_all_day_statistic_total = pd.DataFrame()\n",
    "df_detail_total = pd.DataFrame()\n",
    "\n",
    "# 获取最近日期的各项基础数据\n",
    "for item in analysis_date_list:\n",
    "    df_summary, df_total = get_set_date_data_df(item, ['description', 'project_name', 'tags', 'client_name'])\n",
    "    df_all_day_statistic_total = pd.concat([df_all_day_statistic_total, df_total], axis=0)\n",
    "    df_detail_total = pd.concat([df_detail_total, df_summary], axis=0)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-04-02T14:23:10.702668Z",
     "start_time": "2024-04-02T14:22:46.389674Z"
    }
   },
   "id": "29b76662f5a309d3"
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "outputs": [],
   "source": [
    "# 获取今天的天总结数据\n",
    "df_all_day_statistic_today = df_all_day_statistic_total[df_all_day_statistic_total['日期'] == set_today_date]\n",
    "\n",
    "# 获取今天的明细数据\n",
    "df_detail_today = df_detail_total[df_detail_total['日期'] == set_today_date]"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-04-02T14:23:10.711594Z",
     "start_time": "2024-04-02T14:23:10.705885Z"
    }
   },
   "id": "d61fc2b6601373ac"
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "outputs": [],
   "source": [
    "valid_time = get_column_value(df_all_day_statistic_today, '全天有效时间', 0)\n",
    "use_time = get_column_value(df_all_day_statistic_today, '全天利用时间', 0)\n",
    "use_rate = get_column_value(df_all_day_statistic_today, '占比', 0)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-04-02T14:23:10.721239Z",
     "start_time": "2024-04-02T14:23:10.711006Z"
    }
   },
   "id": "276334a471d7f1fd"
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "--- 🕰️ 今日时间利用情况 ---\n",
      "有效时间： 14:45:00\n",
      "利用时间： 8:09:38 | 利用率： 55.33% \n",
      "\n",
      "--- 💼 Work ---\n",
      "总耗时： 1:25:42 | 占比： 17.50% \n",
      "\n",
      "1️⃣ 主业工作【 1:25:42 】\n",
      "\n",
      "\n",
      "--- 💭 总结 ---\n"
     ]
    }
   ],
   "source": [
    "tags_list = ['Creation', 'DigitalLife', 'Work', \"Life\"]\n",
    "tags_icon_list = ['📝', '💻', '💼', '🏞️']\n",
    "tags_number_list = ['1️⃣', '2️⃣', '3️⃣', '4️⃣', '5️⃣', '6️⃣', '7️⃣', '8️⃣', '9️⃣', '🔟']\n",
    "\n",
    "# 临时计算根据tags统计各tags的用时和占比\n",
    "tmp_tags_sta = df_detail_today.groupby('tags').agg({'duration': 'sum'}).reset_index()\n",
    "tmp_tags_sta['占比'] = tmp_tags_sta['duration'].apply(\n",
    "    lambda x: '{:.2f}%'.format(x / tmp_tags_sta['duration'].sum() * 100))\n",
    "\n",
    "print('--- 🕰️ 今日时间利用情况 ---')\n",
    "print('有效时间：', seconds_to_hms(valid_time))\n",
    "print('利用时间：', seconds_to_hms(use_time), '| 利用率：', use_rate, '\\n')\n",
    "\n",
    "# 设置默认的tags艺术数字标签的\n",
    "tags_number = 0\n",
    "\n",
    "for i in range(0, 4):\n",
    "    # 筛选对应tags的明细数据\n",
    "    filter_df = df_detail_today[df_detail_today['tags'] == tags_list[i]]\n",
    "    if filter_df.empty:\n",
    "        continue\n",
    "    else:\n",
    "        #获取当前tags的对应的tags用时占比\n",
    "        tags_df = tmp_tags_sta[tmp_tags_sta['tags'] == tags_list[i]]\n",
    "        print('---', tags_icon_list[i], tags_list[i], '---')\n",
    "        #取出其中的duration数据\n",
    "        print('总耗时：', seconds_to_hms(get_column_value(tags_df, 'duration', 0)), '| 占比：',\n",
    "              get_column_value(tags_df, '占比', 0), '\\n')\n",
    "        #统计对应tags中client的用时\n",
    "        filter_client_df = filter_df.groupby('client_name').agg({'duration': 'sum'}).reset_index().sort_values(\n",
    "            by='duration', ascending=False)\n",
    "        # 在client df的行数中进行循环\n",
    "        for i in range(0, filter_client_df.shape[0]):\n",
    "            print(\n",
    "                f\"{tags_number_list[tags_number]} {get_column_value(filter_client_df, 'client_name', i)}【 {seconds_to_hms(get_column_value(filter_client_df, 'duration', i))} 】\\n\")\n",
    "            # 在赋值后，+1，准备下一波赋值\n",
    "            tags_number = tags_number + 1\n",
    "print('\\n--- 💭 总结 ---')"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-04-02T14:23:10.741949Z",
     "start_time": "2024-04-02T14:23:10.725726Z"
    }
   },
   "id": "3bc4e4ba97544cec"
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "outputs": [
    {
     "data": {
      "text/plain": "<AxesSubplot:ylabel='duration'>"
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x432 with 1 Axes>",
      "image/png": "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\n"
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "a = df_detail_today.groupby('tags').agg({'duration': 'sum'}).reset_index()\n",
    "a.set_index('tags')['duration'].plot.pie(autopct=' % 1.1f %% ', startangle=90, figsize=(6, 6), fontsize=12)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-04-02T14:23:10.851474Z",
     "start_time": "2024-04-02T14:23:10.731315Z"
    }
   },
   "id": "e6b792c3ede1fbb4"
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "outputs": [
    {
     "data": {
      "text/plain": "  description project_name       tags client_name  duration      占比   标准时间格式  \\\n0       出发到青岛           高铁  Mandatory          交通     24236  82.50%  6:43:56   \n1    技术架构文档修改       风险管理平台       Work        主业工作      5142  17.50%  1:25:42   \n\n           日期  \n0  2024-04-02  \n1  2024-04-02  ",
      "text/html": "<div>\n<style scoped>\n    .dataframe tbody tr th:only-of-type {\n        vertical-align: middle;\n    }\n\n    .dataframe tbody tr th {\n        vertical-align: top;\n    }\n\n    .dataframe thead th {\n        text-align: right;\n    }\n</style>\n<table border=\"1\" class=\"dataframe\">\n  <thead>\n    <tr style=\"text-align: right;\">\n      <th></th>\n      <th>description</th>\n      <th>project_name</th>\n      <th>tags</th>\n      <th>client_name</th>\n      <th>duration</th>\n      <th>占比</th>\n      <th>标准时间格式</th>\n      <th>日期</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>出发到青岛</td>\n      <td>高铁</td>\n      <td>Mandatory</td>\n      <td>交通</td>\n      <td>24236</td>\n      <td>82.50%</td>\n      <td>6:43:56</td>\n      <td>2024-04-02</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>技术架构文档修改</td>\n      <td>风险管理平台</td>\n      <td>Work</td>\n      <td>主业工作</td>\n      <td>5142</td>\n      <td>17.50%</td>\n      <td>1:25:42</td>\n      <td>2024-04-02</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_detail_today"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-04-02T14:23:13.812116Z",
     "start_time": "2024-04-02T14:23:13.807925Z"
    }
   },
   "id": "14ba4418e2a342bc"
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 1440x576 with 2 Axes>",
      "image/png": "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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 画图\n",
    "plot_contrast_time_use_rate(df_all_day_statistic_total)"
   ],
   "metadata": {
    "collapsed": false,
    "ExecuteTime": {
     "end_time": "2024-04-02T14:23:15.840862Z",
     "start_time": "2024-04-02T14:23:15.670674Z"
    }
   },
   "id": "cc978783fb91880b"
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "outputs": [],
   "source": [],
   "metadata": {
    "collapsed": false
   },
   "id": "50c26486a5ce4725"
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.6"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
